Decentralized Data

Kapsul is a decentralized storage software that offers adaptive data management, programmable storage, and multi-cloud support, prioritizing privacy and compliance across various industries for secure and scalable data handling.

Data On Demand consolidates structured, unstructured, and streaming data into a single source of truth, providing machine‑learning‑driven forecasting, anomaly detection, and decision optimization. It offers real‑time dashboards, AI alerts, and predictive models in a secure, collaborative workspace.

DataBrain is an embedded analytics platform that gives product teams and developers interactive dashboards, self‑service reporting, and AI‑powered insights. Its low‑code interface and SDK let users customize visualizations, connect to multiple data sources, and embed analytics into applications.

DataDepot aggregates research from multiple providers into one searchable hub, offering AI‑driven personalization and filtering by content type. Users configure dashboards to display relevant studies, while providers list work and transact globally without upfront fees.

Data Services by Clickworker provides a crowdsourced platform for data collection, validation, labeling, and categorization, assigning microtasks to a global workforce. It delivers scalable, ISO 27001‑compliant results and transparent workflow tracking for AI training and market research.

Athena AI consolidates SQL, NoSQL, and file data for real‑time synchronization with hashing/blockchain integrity and live query preview. It offers 21 visual charts, granular permissions, dashboards, alerts, scheduled reports, and API integration.

Openfabric is a decentralized layer‑one blockchain that lets AI developers, data providers, and infrastructure partners build, train, and deploy algorithms on a permissionless network. Its marketplace offers ready‑made tools, and token holders can stake for governance and liquidity.

The AI-powered web3 tool analyzes data in decentralized networks using state-of-the-art algorithms and machine learning techniques to provide insights and facilitate informed decisions, collaboration, and the full potential of the network.

enqai" is a decentralized AI tool that prioritizes autonomy and security by offering uncensorable solutions. Users can access various AI capabilities independently of centralized control, ensuring reliable performance for a range of applications.

Inflectiv.ai is a platform that transforms unstructured data from documents, sensors, and databases into structured, queryable intelligence for AI agents and applications. It automates data ingestion and extraction while enforcing access control, attribution, and on-chain monetization for data contr

Secoda centralizes data cataloging, metadata management, and lineage tracking, offering AI‑driven search, query monitoring, and quality scoring. It provides role‑based access, CI/CD impact analysis, and real‑time observability dashboards to streamline workflows.

Hex unifies notebooks, conversational queries, and dashboards in a single workspace. It uses shared semantic context to offer reliable insights from Snowflake, BigQuery, Redshift, and more. Data scientists write code, while business users ask plain‑language questions via Threads or Slack.

Centralize automates stakeholder mapping for sales and revenue teams, aggregating CRM, email, call, calendar, and social data into real‑time relationship maps. AI queries and proactive alerts highlight key decision makers, power shifts, and deal risks, speeding closure.

Nanonets automatically extracts structured data from invoices, receipts, IDs, and other documents without predefined templates. It offers end‑to‑end workflows, native CRM/ERP integration, and a visual designer for rapid, no‑code deployment across finance, supply‑chain, HR, and legal operations.

Polar consolidates Shopify, Amazon, and POS data into a single dashboard, leveraging Snowflake for scalable queries. A semantic layer supplies pre‑built metrics, while AI agents deliver tailored insights. Incrementality tests validate marketing impact, and role‑based permissions control team access.

Rido Protocol lets users set programmable data access via NFTs or tokens, program new variables, migrate Web2 data through BNB Attestation, trade data in a marketplace, and receive personalized recommendations and 3D virtual life environments.

Encord is a data development platform that streamlines data curation, labeling, and model evaluation for AI teams. It supports computer vision and multimodal tasks with advanced user management, customizable workflows, and comprehensive quality metrics.

SherlockAI delivers real‑time consumer movement and behavior insights by aggregating millions of data points updated every minute. It offers block‑level global movement resolution, GDPR‑compliant privacy, and API access for actionable predictions.

Simple Analytics delivers privacy‑first web analytics, capturing only non‑personal data. It offers real‑time dashboards, goal and event tracking, AI chat support, encrypted data, and integrations with GTM, WordPress, and visualization tools.

Dateno simplifies data analysis by allowing users to upload datasets for instant AI-driven insights. Its intuitive interface provides detailed answers and visualizations, while analysis history helps track data story evolution for informed decision-making across various industries.

Datagran reorganizes sales, ops, customer success, and growth into human‑led AI cells. One human oversees each cell while AI agents research, coordinate, and handle routine tasks, integrating seamlessly with existing workflows through shared memory and policy enforcement.

Indico Intake and Orchestration Platform automates ingestion, enrichment, and routing of unstructured insurance data—extracting emails, PDFs, SOVs, loss runs, and ACORD forms into structured, validated outputs for underwriting, claims, and policy servicing, with real‑time processing and AI‑driven en

Anomalo automates data quality across structured, semi‑structured, and unstructured data in cloud lakes and warehouses. Using unsupervised ML, it detects anomalies, validates completeness, enforces governance without code, and offers lineage mapping and KPI tracking.

DataCamp provides interactive courses, hands-on projects, and role-based career and skill tracks for data science, ML, and AI. It covers Python, R, SQL, cloud platforms, LLMs, and MLOps, plus team analytics and customizable learning paths.

LightLayer provides scalable, richly annotated egocentric datasets—synchronized RGB, audio, IMU, and depth—via distributed capture coordination, automated collection workflows, and streamlined annotation pipelines to produce delivery-ready data for embodied AI and robotic perception training.

Algo transforms structured data into motion graphics, automating end‑to‑end video creation. Teams ingest data, storyboard, and animate via a dashboard, then the cloud renders and distributes live, data‑driven videos for web, social, or broadcast.

Innovatiana provides data labeling outsourcing services for AI models, specializing in various data types. Focusing on ethical practices, it offers competitive rates and data security, ensuring high-quality labeled data for AI model training across multiple industries.

Appen delivers human‑validated datasets across six domains—alignment, agentic AI, speech/audio, multimodal, physical, and model integrity—using automation and a global workforce of 1 million+ contributors. SOC 2/ISO 27001 certified, it supports large‑scale AI training and independent evaluation.

SyntheticAIdata is a no‑code synthetic data platform that generates large‑scale, fully annotated computer vision datasets. It eliminates privacy concerns, reduces manual labeling, and supports cloud integration for rapid, balanced, inclusive model prototyping.

Duck.ai offers anonymous access to popular AI models. It ensures privacy by keeping conversations untracked and outside AI training data, with seamless model switching.

Mostly AI is a data‑intelligence platform that generates synthetic and mock data with differential privacy, supports production‑data querying via an AI assistant, and offers simulation tools for edge‑case prediction. It facilitates collaboration and secure data sharing on Kubernetes or OpenShift.

Datature unifies data labeling, model training, and deployment in one workflow. AI‑assisted annotation cuts labeling time up to tenfold. It supports classification, detection, segmentation, keypoint tasks, offers drag‑and‑drop training, hyperparameter tuning, visual evaluation, and edge/cloud deploy

AI and data analytics platform delivering end‑to‑end solutions across multiple sectors. It accelerates experimentation to production, supports data engineering, MLOps, LLMOps, and digital engineering, integrating Databricks, Snowflake, and Google Cloud to shorten insight‑to‑action time and boost eff

FiftyOne is a visual AI platform that centralizes data curation, annotation, and model evaluation across images, video, point clouds, and metadata. It offers interactive slicing, automatic labeling with confidence scoring, role‑based access, versioning, and open‑source integration.

web3.com ventures focuses on scalable infrastructure within the web3 ecosystem, enhancing product development in AI, DeFi, and privacy technologies. It provides developers with foundational tools to build diverse applications efficiently and securely.

Prolific offers an API‑first platform for gathering high‑quality, real‑world data from a diverse participant pool. It provides fully managed collection, audience targeting, and access to domain experts, enabling quick, representative studies for AI development.

Satlas offers an interactive JavaScript‑enabled map that uses AI super‑resolution to enhance low‑resolution satellite imagery. It provides monthly datasets on marine and renewable energy infrastructure, tree cover loss, and deforestation, all downloadable for offline use.

Rose AI unifies 50 million time‑series entries from 30+ vendors, automatically cleansing, structuring, and anomaly‑checking data in real‑time. Natural‑language queries and visualizations enable finance teams to extract audit‑ready insights quickly.

TeraDact safeguards data across cloud, data center, and edge with AI‑driven redaction, tokenization, and encryption. It auto‑removes private text and images from documents, CCTV, audio, and datasets, enabling audit‑ready compliance, secure time‑limited sharing, and inter‑agency collaboration.

Restructured is a data management platform that transforms unstructured data into actionable insights across industries. It offers AI-powered search, real-time processing, and automated classification, enabling users to generate reports and analytics efficiently and accurately.

Capitol AI is a SOC 2‑compliant OS that converts enterprise data into decision‑grade intelligence while keeping it in‑house. It supports any model, automates reports, and integrates PDFs, databases, and APIs with granular roles and no‑code tools for rapid deployment in regulated sectors.

Xdash AI offers seamless data analysis, in-depth reporting, and task automation. It excels at uncovering crucial insights from intricate datasets, facilitating informed business decisions.

Dropbox Dash is an AI-driven search tool unifying data from connected apps & emails. It boosts productivity through smart collections, centralized views, and efficient answers for improved workflow management.

hiData.ai is an AI workspace that automates data analysis, spreadsheet tasks, and report generation. It transforms raw data into structured insights and presentation-ready decks for faster, collaborative decision-making.

DataLang lets users build chatbots that pull data from SQL databases, cloud services, files, and websites. The step‑by‑step workflow covers data source setup, view creation, GPT training, and deployment via URL, widget, API, or ChatGPT Store.

Basedash lets teams ask plain‑English questions of their data warehouses and SaaS sources, automatically generating validated SQL, executing it, and visualizing results in dashboards. It supports 750+ integrations, enforces SOC 2 compliance, and offers an embedding API for internal products.

adot is a decentralized search network providing distributed indexing and semantic search across blockchain data, IPFS, and dApps, using peer-to-peer nodes, federated queries, APIs/SDKs, on-chain governance, token incentives, and privacy-preserving query controls.

Julius AI connects spreadsheets, databases, and cloud storage, letting users ask natural‑language questions. It delivers instant charts, tables, and reports, sharable in Slack or on a schedule, and supports no‑code plus R, Python, or SQL workflows, keeps data private.

Datatruck is an AI‑native TMS that unifies load planning, dispatch, and carrier onboarding, automates billing and payroll, offers real‑time fleet analytics, integrates with 150+ tools via EDI, APIs, and native connections, and ensures enterprise‑grade security.

Cheddar Flow delivers real‑time options order flow and high‑frequency data, including dark‑pool and inter‑exchange sweeps. It aggregates gamma exposure, highlights price magnets and support/resistance zones, and AI alerts flag unusual activity for informed trading decisions.